Does incidental training increase the prevalence of overall similarity classification? A re-examination of kemler Nelson (1984).
Angus InksterFraser MiltonAndy J. WillsPublished in: CogSci (2014)
Keyphrases
- supervised learning
- training samples
- training phase
- training process
- decision trees
- similarity measure
- pattern recognition
- training set
- classification accuracy
- pattern classification
- feature vectors
- image classification
- classification scheme
- automatic classification
- labelled data
- text classification
- feature space
- classification performances
- classification process
- classification algorithm
- classification method
- classification systems
- avoid overfitting
- feature selection
- sufficient training data
- training dataset
- distance metric
- euclidean distance
- svm classifier
- test set
- benchmark datasets
- object detection
- support vector